Google says AI Mode pays less per search. That makes your free product listing worth more.

Most of what Google says about AI Mode in public is about usage: longer questions, more of them, more images and voice. On October 28, on Alphabet's third-quarter earnings call, it said something about money.

Asked why Search revenue growth slowed from the second quarter, Philipp Schindler, Google's chief business officer, listed the reasons. Currency was the biggest. Some retail advertisers in Asia were hit by the EU ending its de minimis exemption. Media spend normalized after a strong World Cup quarter. Then he added: "it's worth noting that the strong growth in AI Mode queries had an impact because of the lower monetization we were seeing in AI Mode." That line is in Alphabet's own transcript of the call.

Put plainly: when a search moves from the classic results page into AI Mode, Google earns less from it today. Google expects to close that gap. How it plans to close it says a lot about where a consumer brand should put its effort.

The numbers behind the sentence

The slowdown is relative. Search is still growing at a healthy rate.

Q3 2025Q3 2026

Show the data

Line	Q3 2025	Q3 2026
Google Search & other	56567	63350
YouTube ads	10261	11207
Google Network	7354	7455

Source: Alphabet, Q3 2026 results, Exhibit 99.1. Google Search & other grew 12% year over year. Alphabet does not report AI Mode revenue separately.

Google Search and other revenue was $63.35 billion in the quarter, up 12% from $56.57 billion a year earlier. Sundar Pichai said in his prepared remarks that query growth is the highest it has been in five years, including commercial queries.

So Google is getting more searches and more revenue, but the new kind of search earns less per query than the old kind. Alphabet does not break out AI Mode revenue, and neither the release nor the call gave a per-query figure. We are not going to guess at one. The direction is what matters here, and Google stated it.

Why AI Mode earns less, for now

Think about what an AI Mode answer looks like for a shopping question. Instead of a page of ads, product listings and blue links, the shopper gets a written answer that compares a few options, often with a carousel of products. Google said on the call that AI Mode queries are on average three times longer than traditional searches, and one in five use voice, images or documents. Long, specific questions get fewer, more targeted results. Fewer slots means fewer ads, at least until Google adds formats that fit inside a conversation.

Schindler also said many AI Mode queries are "upper-funnel," early in the buying process, and that the majority are "incremental," meaning people would not have searched at all before. That is good for Google's long-term business and explains why the per-query revenue starts low: these are new questions that never had ads attached to them.

How Google plans to close the gap

The call and Google's ads announcement the same day describe the plan:

• More ads in more places. Google is "scaling high-quality ads within AI Overviews and AI Mode to more users and queries," including ten new countries now and more, including the UK, in Q4.
• Ads in follow-up questions. Multiturn ads launched in the US, so an ad can appear when a shopper refines a question, not only on the first one.
• Ads inside product carousels. Search Engine Roundtable reported on October 29 that Google is testing a format where Shopping Ads "can appear alongside organic visual search results within carousels for commercially relevant queries," according to a Google spokesperson, with sponsored listings labeled.
• Agentic checkout. Schindler said the Universal Commerce Protocol "enables direct checkout for hundreds of thousands of brands across Google," and that Google sees "really interesting, compelling advertising models for agentic use cases."

None of that is surprising. On the call, Pichai said: "Just like our shift to mobile over a decade ago, we are focused on building the best Search user experience, followed by monetization." We read that as a plain statement of order: the experience first, the ads after.

The line that matters most for brands

Buried in the same section of the call is the sentence we think CPG teams should read twice: "Click-through rates are already similar between sponsored and organic product list items within AI Mode."

Google uses that sentence to reassure advertisers that ads in AI Mode work. Read it from the other side. If a paid product listing and an organic one get clicked at similar rates, then an organic listing in an AI Mode carousel is roughly as valuable, click for click, as one you pay for. Google's own footnote dates the data to US traffic from August 20 to September 3, 2026, and it has not published the actual rates. We would treat "similar" as a direction, not a precise equality.

Table: What Google said about AI Mode and shopping, October 28, 2026

Claim	Where Google said it
AI Mode queries are on average 3x longer than traditional searches	Q3 call; Google Ads blog
1 in 5 AI Mode searches use voice, images or documents	Q3 call
Over 50 billion visual searches per month	Q3 call
Sponsored and organic product list items have similar click-through rates in AI Mode	Q3 call; Google Ads blog
Lower AI Mode monetization weighed on Search growth	Q3 call (answer to analyst question)
UCP enables direct checkout for hundreds of thousands of brands	Q3 call

Sources: Alphabet Q3 2026 transcript and Google Ads blog.

Our argument: organic is the floor, ads are the extension

Here is how we think the pieces fit together.

Google needs AI Mode to earn more per query. It will do that by adding ad units around and between organic results. As it does, the number of organic product slots on a given answer will probably shrink or, at best, stay flat. The ones left will sit next to paid listings that click at a similar rate.

That makes two things true at once.

First, being in the organic set is worth more than before. If there are fewer organic slots and each clicks about as well as an ad, the brands that earn those slots get paid-quality traffic without paying. The slots are earned through product data: Merchant Center feeds, the structured data on your own product pages, reviews, and the plain-text facts Google can match to a long, specific question. We covered the specific Merchant Center attributes in our conversational attributes guide and the long-question copy problem in our post on AI Mode's longer queries.

Second, the ads you buy are built from the same data. Shopping Ads draw on your Merchant Center feed. If your feed lacks the attributes a long question asks about, you will not show up organically, and your ads will match fewer of those queries too. A brand that fixes its product data improves both at once. A brand that tries to buy its way past weak data pays more for less.

There is a tempting reading of Google's call that goes the other way: "AI Mode is becoming pay-to-play, so the organic work no longer matters." We think that gets it backward. Google's own sentence about similar click-through rates is the best evidence that the organic listing still carries real weight. And as Google adds checkout through UCP and agents that act for shoppers, the agent will need product facts it can trust before it buys. Those facts come from the same feeds.

Where we could be wrong

Two things would change our view.

If Google starts filling AI Mode carousels mostly with ads, the organic floor gets lower and paid becomes the main path. The Search Engine Roundtable test is worth watching for exactly this reason. So far Google labels sponsored items and mixes them in, rather than replacing organic ones.

And if the click-through numbers Google publishes later show a large gap after all, the "equal footing" part of the argument weakens. We will update this piece if either happens.

What we would do this month

1. Audit your top 20 products in Merchant Center. Fill every attribute that describes use, size, ingredients and suitability. Tip 16 explains why Merchant Center matters for AI results.
2. Match your product pages to your feed. Same price, same size, same claims, in text. Tip 2 covers the basics of structured data.
3. Ask AI Mode your category's long questions. "Best low-sugar granola for kids' lunches" rather than "granola." Note whether you appear organically, as an ad, or not at all.
4. Then decide on ads. With organic in good shape, you will know which queries you need to buy and which you already earn.

Checking AI Mode by hand works for a few products. For a whole catalog, teams use tools that run the same questions across assistants and record the answers; that is the kind of work XENA Intelligence does with SearchPanel. The method matters less than making the check routine.

The bottom line

Google told investors that AI Mode earns less per search for now, and that the fix is more ads. Brands should take the other half of the message seriously: organic product listings in AI Mode click about as well as paid ones. As the page fills up, the free listing becomes the floor. Make sure your products are standing on it.